This session uncovers the most under-utilized paths to multi-channel analytics success. From establishing governance structure to identifying technologies, we will help you think more strategically about your business.

2. Off the Beaten Path:
Roadmap to Multi-Channel Analytics Success

3. Presenter
Chief Revenue Officer, Ebiquity - US
Maigari Jinkiri

4. This session will cover…
Roadmaps – Where are you going?
Analytics Roadmap Learnings3
1
Achieving Success in the Intelligent Utilization of Data2

5. Roadmaps – Where are you going?

6. The Common Direction
“I want to better understand who
individual consumers/ prospects
are and what they did in the past
and how/if that relates to what they
need now… like Amazon.”

7. Intersection of Success
Right Data Right People Right Time
SUCCESS!

8. Achieving Success in the
Intelligent Utilization of Data

9. WEBSIT
E
DOING
THINKING
FEELIN
G
STAGES DISCOVER INVESTIGATE JOIN CONTRIBUTE RECEIVE USE
How do you get the Right Data, Right People, Right
Time?
C
U
S
T
O
M
E
R
J
O
U
R
N
E
Y

11. The Building Blocks
Right Data = Process, People
Right People = Process, Technology, People
Right Time = Technology, Process, People

12. The
Right People.
Personas.
Better understand your current and future customer.
Do those differ by engagements with products, lines of
business, channels, etc.?

13. The
Right Data.
What actions have you taken?
Where did they occur?
Ensure that the appropriate data is available to
understand the relevant data.
Define the business outcomes that relate back to the
customer journey.
Identify the who, the what, the where to ensure you can
better message to that “person” in the future.

14. The
Right Time.
Immediacy > everything else

15. Analytics Roadmap Learnings

16. Technology guilt
Technology matters, but approximately 94% less than you might think.
When an organization fails in the utilization of
data to drive insights, they often blame
technology.
This is almost NEVER true.
Source: this is not an actual stat, it’s more a figure of speech.

17. The struggle is real.
Getting the right people
is the hard part…
and the institution of
analytics must be made
to withstand the effects
of these changes.

18. Without process,
this is your
analytics
program…

19. Processes that Determine Analytics Success
Derivation of insights to drive a better understanding of the
business
From business question to data collection activities
Moving beyond insights to activation
Analysis
Data Collection
Data Utilization
What you have done/are doing and why?Communication (Internal)

20. Questions to ask (and answer)
Intelligent Data Collection
How do we best to configure our current data collection
technologies to meet business requirements?
How do we integrate our different data collection technologies to
maximize $$$?
What are the key metrics across my business that communicate
the health of the business to disparate stakeholders?

21. Questions to ask (and answer)
Optimization of the customer journey
How do we integrate our datasets to better understand a user’s
journey through the entire customer experience?
How do we reduce consumer friction along all aspects of the
consumer journey, both digital and online?
How do we build an optimization practice to ensure we move
beyond isolated successes?

22. Client Example |
DATA COLLECTION PROCESS
Frustrated after 200 analytics releases in a single year
Created an automated approach data collection
Reduced the analytics development team’s efforts by 90%

23. Client Example |
DATA UTILIZATION PROCESS
Built 5-year analytics & optimization roadmap plan
Included data collection on one digital channel, scaled to
digital data collection across 5 different digital channels,
and an optimization program built from scratch
Created 8 figures in incremental revenue in two years

25. THANK YOU
LinkedIn.com/Ebiquity
@ebiquityglobal
www.ebiquity.com